4,772 research outputs found
Ideological diversity, hostility, and discrimination in philosophy
Members of the field of philosophy have, just as other people, political convictions or, as psychologists call them, ideologies. How are different ideologies distributed and perceived in the field? Using the familiar distinction between the political left and right, we surveyed an international sample of 794 subjects in philosophy. We found that survey participants clearly leaned left (75%), while right-leaning individuals (14%) and moderates (11%) were underrepresented. Moreover, and strikingly, across the political spectrum, from very left-leaning individuals and moderates to very right-leaning individuals, participants reported experiencing ideological hostility in the field, occasionally even from those from their own side of the political spectrum. Finally, while about half of the subjects believed that discrimination against left- or right-leaning individuals in the field is not justified, a significant minority displayed an explicit willingness to discriminate against colleagues with the opposite ideology. Our findings are both surprising and important, because a commitment to tolerance and equality is widespread in philosophy, and there is reason to think that ideological similarity, hostility, and discrimination undermine reliable belief formation in many areas of the discipline
The diagonalization of quantum field Hamiltonians
We introduce a new diagonalization method called quasi-sparse eigenvector
diagonalization which finds the most important basis vectors of the low energy
eigenstates of a quantum Hamiltonian. It can operate using any basis, either
orthogonal or non-orthogonal, and any sparse Hamiltonian, either Hermitian,
non-Hermitian, finite-dimensional, or infinite-dimensional. The method is part
of a new computational approach which combines both diagonalization and Monte
Carlo techniques.Comment: 12 pages, 8 figures, new material adde
Introduction to stochastic error correction methods
We propose a method for eliminating the truncation error associated with any
subspace diagonalization calculation. The new method, called stochastic error
correction, uses Monte Carlo sampling to compute the contribution of the
remaining basis vectors not included in the initial diagonalization. The method
is part of a new approach to computational quantum physics which combines both
diagonalization and Monte Carlo techniques.Comment: 11 pages, 1 figur
A Catalog of Cool Dwarf Targets for the Transiting Exoplanet Survey Satellite
We present a catalog of cool dwarf targets (, ) and their stellar properties for the upcoming Transiting Exoplanet
Survey Satellite (TESS), for the purpose of determining which cool dwarfs
should be observed using two-minute observations. TESS has the opportunity to
search tens of thousands of nearby, cool, late K and M-type dwarfs for
transiting exoplanets, an order of magnitude more than current or previous
transiting exoplanet surveys, such as {\it Kepler}, K2 and ground-based
programs. This necessitates a new approach to choosing cool dwarf targets. Cool
dwarfs were chosen by collating parallax and proper motion catalogs from the
literature and subjecting them to a variety of selection criteria. We calculate
stellar parameters and TESS magnitudes using the best possible relations from
the literature while maintaining uniformity of methods for the sake of
reproducibility. We estimate the expected planet yield from TESS observations
using statistical results from the Kepler Mission, and use these results to
choose the best targets for two-minute observations, optimizing for small
planets for which masses can conceivably be measured using follow up Doppler
spectroscopy by current and future Doppler spectrometers. The catalog is
incorporated into the TESS Input Catalog and TESS Candidate Target List until a
more complete and accurate cool dwarf catalog identified by ESA's Gaia Mission
can be incorporated.Comment: Accepted to The Astronomical Journal. For the full catalog, please
contact the corresponding autho
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